Author

Vivian S. Gainer

Mass General Brigham

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:electronic health records· 3 Approach:statistical model· 3 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Shawn N. MurphyiD· 4 shared Victor Manuel CastroiD· 4 shared Tianxi CaiiD· 3 shared Barbara Benoit· 2 shared Chia‐Yen CheniD· 2 shared Chuan HongiD· 2 shared Gail Pairitz JarvikiD· 2 shared Jiehuan SuniD· 2 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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4 shared papersBioinformatics

Shawn N. MurphyORCID

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Author profile →

5 papers

Recent·Most cited

Validation of a Trans-Ancestry Polygenic Risk Score for Type 2 Diabetes in Diverse Populations

Tian Ge, Marguerite R. Irvin, Amit Patki, Vinodh Srinivasasainagendra, Kuang Lin, Hemant K. Tiwari, Nicole D. Armstrong, Barbara Benoit, Chia‐Yen Chen, Karmel W. Choi, James J. Cimino, Brittney H. Davis, Ozan Dikilitas, Bethany Etheridge, Yen‐Chen Anne Feng, , Elizabeth W. Karlson

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

Genome Medicine · Jun 28, 2022Peer-reviewedGenetic & Genomic Medicine

Neptune: An environment for the delivery of genomic medicine

Eric Venner, Victoria Yi, David R. Murdock, Sara E. Kalla, Tsung-Jung Wu, Aniko Sabo, Shoudong Li, Qingchang Meng, Tian Xia, Mullai Murugan, Michelle L. Cohen, Christie Kovar, Wei‐Qi Wei, Wendy K. Chung, Chunhua Weng, , Andrea L. Hartzler

Neptune delivers structured genomic data to EHR systems through customizable reports and variant reanalysis, supporting over 15,000 clinical reports.

Genetics in Medicine · Jul 13, 2021Peer-reviewedBioinformatics

sureLDA: A Multi-Disease Automated Phenotyping Method for the Electronic Health Record

Yuri Ahuja, Doudou Zhou, Zhe He, Jiehuan Sun, Victor Manuel Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

sureLDA automates phenotype labeling in EHR data using topic modeling, achieving high accuracy and robustness across various phenotypes.

Journal of the American Medical Informatics Association · Apr 28, 2020Peer-reviewedBioinformatics

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Yichi Zhang, Yuk-Lam Anne Ho, Victor Manuel Castro, Vivian S. Gainer, Shawn N. Murphy, Christopher J. O’Donnell, J. Michael Gaziano, , with the VA Million Veteran Program

This paper develops an automated high-throughput phenotyping method (MAP) that improves phenotype accuracy and scalability for PheWAS studies.

Journal of the American Medical Informatics Association · Apr 26, 2019Peer-reviewedBioinformatics

Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records

Chia‐Yen Chen, Phil Hyoun Lee, Victor Manuel Castro, Jessica Minnier, Alexander W. Charney, Eli A. Stahl, Douglas M. Ruderfer, Shawn N. Murphy, Vivian S. Gainer, Tianxi Cai, Ian Richard Jones, Carlos N. Pato, Michele T. Pato, Mikael Landén, Pamela B. Sklar, , Jordan W. Smoller

This paper validates EHR-based BD phenotyping algorithms by showing their genetic correlation with traditional BD cases, suggesting they identify genetically similar cases.

Translational Psychiatry · Apr 17, 2018Peer-reviewedGenetics